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ridge: Ridge Regression with automatic selection of the penalty parameter

About

The ridge package offers linear and logistic ridge regression, especially for small data sets and genome-wide SNP data.

Support

If you found a bug or have suggestions, feel free to get in contact via steffen.moritz10 at gmail.com

Since I only have taken over this package (it was orphaned) - it might be that I can't help with all details.

Be aware, that therefore I also can not guarantee to 100% that everything works as expected.

Further information

Erika Cule published also a scientific paper about the method, which you can find here: https://onlinelibrary.wiley.com/doi/abs/10.1002/gepi.21750

Cule, Erika, and Maria De Iorio. "Ridge regression in prediction problems: automatic choice of the ridge parameter." Genetic epidemiology 37.7 (2013): 704-714.

Version

3.3

License

GPL-2

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install.packages('ridge')

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1,228

Version

3.3

License

GPL-2

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Last Published

April 11th, 2022

Functions in ridge (3.3)

logisticRidgeGenotypesPredict

Predict fitted probabilities from genome-wide SNP data based on a file of coefficients
Gorman

The Ten-Factor data first described by Gorman and Toman (1966).
linearRidgeGenotypesPredict

Predict phenotypes from genome-wide SNP data based on a file of coefficients
logisticRidgeGenotypes

Fits logistic ridge regression models for genomoe-wide SNP data.
linearRidge

Linear ridge regression.
logisticRidge

Logistic ridge regression.
pvals

Compute p-values for ridgeLinear and ridgeLogistic models
GenBin

Simulated genetic data with a binary phenotypes
GenCont

Simulated genetic data with continuous outcomes
Hald

Hald data
computeRidgeLogistic

Internal functions for logistic ridge regression.
ridge

ridge: Linear and logistic ridge regression functions.
ridge-package

ridge-package description
linearRidgeGenotypes

Fits linear ridge regression models for genome-wide SNP data.